Summary
i-Netsolution Readymade Unilevel Ecommerce MLM contains a SQL injection flaw in the id parameter accepted by the product details endpoint. An unauthenticated attacker may manipulate database queries to retrieve or infer information when the endpoint processes attacker-controlled input without sufficient safeguards.
i-Netsolution Readymade Unilevel Ecommerce MLM contains a SQL injection flaw in the id parameter accepted by the product details endpoint. An unauthenticated attacker may manipulate database queries to retrieve or infer information when the endpoint processes attacker-controlled input without sufficient safeguards.
Affected context
The issue affects the 2024-03-15 build of i-Netsolution Readymade Unilevel Ecommerce MLM, particularly the /product-details.php endpoint. Risk is present where the endpoint accepts externally supplied values through the id parameter and incorporates them into database queries without reliable parameterization or equivalent query-boundary protection.
The issue affects the 2024-03-15 build of i-Netsolution Readymade Unilevel Ecommerce MLM, particularly the /product-details.php endpoint. Risk is present where the endpoint accepts externally supplied values through the id parameter and incorporates them into database queries without reliable parameterization or equivalent query-boundary protection.
Exploit preconditions
- Attack surface: Public HTTP GET request to
/product-details.php - Required access: No authentication may be required when the endpoint is internet-accessible
- Trigger point: Processing of attacker-controlled input in the
idparameter - Why exploitation is possible: Input may influence database query structure rather than being treated exclusively as a data value
- Attack surface: Public HTTP GET request to
/product-details.php - Required access: No authentication may be required when the endpoint is internet-accessible
- Trigger point: Processing of attacker-controlled input in the
idparameter - Why exploitation is possible: Input may influence database query structure rather than being treated exclusively as a data value
Why this happens
The underlying bug is insufficient separation between application data and SQL command structure. When request parameters are concatenated, interpolated, or otherwise incorporated into database statements without parameterized query handling, crafted input can alter query logic or timing behavior. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
The underlying bug is insufficient separation between application data and SQL command structure. When request parameters are concatenated, interpolated, or otherwise incorporated into database statements without parameterized query handling, crafted input can alter query logic or timing behavior. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
Potential impact
- Attackers may retrieve sensitive database information
- Database contents may be exposed or inferred through application responses or timing
- Unauthorized records may be modified or deleted
- Application availability could be affected by resource-intensive queries
- Exposed credentials or configuration data may enable further compromise
- Attackers may retrieve sensitive database information
- Database contents may be exposed or inferred through application responses or timing
- Unauthorized records may be modified or deleted
- Application availability could be affected by resource-intensive queries
- Exposed credentials or configuration data may enable further compromise
General mitigation guidance
Mitigation generally focuses on ensuring that all externally supplied values remain data throughout database processing.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply strict server-side validation and type checking to identifier parameters
- Avoid dynamically assembled SQL where a fixed query structure is sufficient
- Limit the database account to the minimum permissions required by the application
- Use controlled error handling that does not reveal database details
- Apply layered authorization checks to product and record access
Mitigation generally focuses on ensuring that all externally supplied values remain data throughout database processing.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply strict server-side validation and type checking to identifier parameters
- Avoid dynamically assembled SQL where a fixed query structure is sufficient
- Limit the database account to the minimum permissions required by the application
- Use controlled error handling that does not reveal database details
- Apply layered authorization checks to product and record access
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly into database APIs
- Dynamic testing of identifier and filter parameters using benign validation cases
- Web application firewall or API-gateway policies for anomalous database-oriented input patterns
- Database monitoring for unexpected query structures, timing anomalies, or excessive metadata access
- Automated security review tools that flag unparameterized query construction
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly into database APIs
- Dynamic testing of identifier and filter parameters using benign validation cases
- Web application firewall or API-gateway policies for anomalous database-oriented input patterns
- Database monitoring for unexpected query structures, timing anomalies, or excessive metadata access
- Automated security review tools that flag unparameterized query construction
